Learn More https://tinyurl.com/ThermonatorThermonator is the first-ever flamethrower-wielding robot dog. This quadruped is coupled with the ARC Flamethrower…
Globally, computation is booming at an unprecedented rate, fueled by the boons of artificial intelligence. With this, the staggering energy demand of the world’s computing infrastructure has become a major concern, and the development of computing devices that are far more energy-efficient is a leading challenge for the scientific community.
LVLM-Intrepret.
An interpretability tool for large vision-language models.
In the rapidly evolving landscape of artificial intelligence, multi-modal large language models are emerging as a significant area of interest.
With 5,000 tiny robots in a mountaintop telescope, researchers can look 11 billion years into the past. The light from far-flung objects in space is just now reaching the Dark Energy Spectroscopic Instrument (DESI), enabling us to map our cosmos as it was in its youth and trace its growth to what we see today.
DESI Survey announces the most precise measurements of our expanding #universe using the BAO signal in 6.1 Million #galaxies and #Quasars from Year 1, tracing dark energy through cosmic time.
With 5,000 tiny robots in a mountaintop telescope, researchers can look 11 billion years into the past. The light from far-flung objects in space is just now reaching the Dark Energy Spectroscopic Instrument (DESI), enabling us to map our cosmos as it was in its youth and trace its growth to what we see today. Understanding how our universe has evolved is tied to how it ends, and to one of the biggest mysteries in physics: dark energy, the unknown ingredient causing our universe to expand faster and faster.
Study links dopamine to learning via optogenetics:
A new study reveals dopamine’s role in animal behavior having potential applications in education and artificial intelligence.
As computer vision (CV) systems become increasingly power and memory intensive, they become unsuitable for high-speed and resource deficit edge applications — such as hypersonic missile tracking and autonomous navigation — because of size, weight, and power constraints.
At the University of Pittsburgh, engineers are ushering in the next generation of computer vision systems by using neuromorphic engineering to reinvent visual processing systems with a biological inspiration — human vision.
Rajkumar Kubendran, assistant professor in Pitt’s Swanson School of Engineering and senior member at the Institute of Electrical and Electronics Engineers (IEEE), received a Faculty Early Career Development (CAREER) award from the National Science Foundation (NSF) for his research on energy-efficient and data-efficient neuromorphic systems. Neuromorphic engineering is a promising frontier that will introduce the next generation of CV systems by reducing the number of operations through event-based computation in a biology-inspired framework.
Tesla’s FSD V12 impresses drivers with its advanced navigation and decision-making capabilities, including navigating complex driving situations and making unexpected decisions.
Questions to inspire discussion.
Continue reading “19 Times Impressive Tesla FSD V12 Leaves Drivers in Awe!” »
The 61-year-old explained that learning coding was once an all-important task, but in today’s world, it holds little value. “Over the last 10–15 years, almost everybody who sits on a stage like this would tell you that it is vital that your children learn computer science, everybody should learn how to program. In fact, it is almost exactly the opposite,” he said.
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Huang stressed the need to create technologies that allow computers to understand human prompts instead of humans learning languages like C++ and Java. “It is our job to create computing technology such that nobody has to program and that the programming language is human. Everybody in the world is now a programmer. This is the miracle of AI,” he said.
